MATH 321 Lecture Notes - Lecture 10: Confounding, Scatter Plot, Design Of Experiments
30 Jun 2019
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4. 1. 5 explain the difference between correlation and causation (1 of 8) According to data obtained from the statistical abstract of the united states, the correlation between the percentage of the female population with a bachelor"s degree and the percentage of births to unmarried mothers since 1990 is 0. 940. 4. 1. 5 explain the difference between correlation and causation (2 of 8) The correlation exists only because both percentages have been increasing since: it is this relation that causes the high correlation. When data are observational, we cannot claim a causal relation exists between two variables. We can only claim causality when the data are collected through a designed experiment. 4. 1. 5 explain the difference between correlation and causation (3 of 8) Another way that two variables can be related even though there is not a causal relation is through a lurking variable. A lurking variable is related to both the explanatory and response variable.
